diff --git a/setup.py b/setup.py
index 965a20e..47cf4f0 100644
--- a/setup.py
+++ b/setup.py
@@ -38,7 +38,7 @@
     },
     keywords=["gis"],
     install_requires=[
-        "arcgis==2.3.*",
+        "arcgis>=2.3,<2.5",
         "geopandas>=0.14,<1.1",
         "geodatasets>=2023.12,<2024.9",
         "pg8000>=1.29,<1.32",
diff --git a/src/palletjack/extract.py b/src/palletjack/extract.py
index 275584b..f7e200d 100644
--- a/src/palletjack/extract.py
+++ b/src/palletjack/extract.py
@@ -500,7 +500,7 @@ def __init__(self, host, database, username, password, port=5432):
 
         self._class_logger = logging.getLogger(__name__).getChild(self.__class__.__name__)
         if utils.is_running_in_gcp():
-            self._class_logger.info("running in GCF, using unix socket")
+            self._class_logger.info("running in GCP, using unix socket")
             self.engine = sqlalchemy.create_engine(
                 sqlalchemy.engine.url.URL.create(
                     drivername="postgresql+pg8000",
@@ -543,9 +543,6 @@ def read_table_into_dataframe(self, table_name, index_column, crs, spatial_colum
         )
 
         spatial_dataframe = pd.DataFrame.spatial.from_geodataframe(dataframe, column_name=spatial_column)
-        for column in spatial_dataframe.select_dtypes(include=["datetime64[ns, UTC]"]):
-            self._class_logger.debug("Converting column `%s` to ISO string format", column)
-            spatial_dataframe[column] = spatial_dataframe[column].apply(pd.Timestamp.isoformat)
 
         self._class_logger.debug("Dataframe shape: %s", spatial_dataframe.shape)
         if len(spatial_dataframe.index) == 0:
diff --git a/src/palletjack/utils.py b/src/palletjack/utils.py
index 64a711c..abee553 100644
--- a/src/palletjack/utils.py
+++ b/src/palletjack/utils.py
@@ -380,9 +380,9 @@ def sedf_to_gdf(dataframe):
 
     gdf = gpd.GeoDataFrame(dataframe, geometry=dataframe.spatial.name)
     try:
-        gdf.set_crs(dataframe.spatial.sr["latestWkid"], inplace=True)
-    except KeyError:
-        gdf.set_crs(dataframe.spatial.sr["wkid"], inplace=True)
+        gdf.set_crs(dataframe.spatial.sr.latestWkid, inplace=True)
+    except AttributeError:
+        gdf.set_crs(dataframe.spatial.sr.wkid, inplace=True)
 
     return gdf
 
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 55489a1..5eafe1e 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -5,7 +5,6 @@
 from pathlib import Path
 
 import numpy as np
-import palletjack
 import pandas as pd
 import pyogrio
 import pytest
@@ -13,6 +12,8 @@
 from arcgis.features import FeatureLayer, Table
 from pandas import testing as tm
 
+import palletjack
+
 
 @pytest.fixture(scope="module")  #: only call this once per module
 def iris():
@@ -1833,15 +1834,19 @@ def test_chunker(self):
 class TestSEDFtoGDF:
     def test_sedf_to_gdf_uses_wkid_when_missing_latestwkid(self, mocker):
         gdf_mock = mocker.patch("palletjack.utils.gpd.GeoDataFrame").return_value
-        df_attrs = {"spatial.sr": {"wkid": "foo"}}
-        df_mock = mocker.Mock(**df_attrs)
+
+        df_mock = mocker.Mock()
+        df_mock.spatial.sr = mocker.Mock(spec=palletjack.utils.arcgis.geometry.SpatialReference)
+        df_mock.spatial.sr.wkid = "foo"
 
         palletjack.utils.sedf_to_gdf(df_mock)
 
         gdf_mock.set_crs.assert_called_with("foo", inplace=True)
 
     def test_sedf_to_gdf_uses_sedf_geometry_column(self, mocker):
-        mock_sedf = mocker.Mock(**{"spatial.name": "FOOSHAPE", "spatial.sr": {"wkid": "foo"}})
+        mock_sedf = mocker.Mock(**{"spatial.name": "FOOSHAPE"})  # , "spatial.sr": {"wkid": "foo"}})
+        mock_sedf.spatial.sr = mocker.Mock(spec=palletjack.utils.arcgis.geometry.SpatialReference)
+        mock_sedf.spatial.sr.wkid = "foo"
         gpd_mock = mocker.patch("palletjack.utils.gpd.GeoDataFrame")
 
         palletjack.utils.sedf_to_gdf(mock_sedf)